Marketing Analytics Lead - Gaming & Hospitality Growth

Golden Entertainment, Inc.; Nevada; Sur place; USD 55 000 - 85 000; Plein temps

Résumé du poste

Golden Entertainment LLC seeks a Corporate Marketing Analyst to convert guest and player data into actionable insights that drive revenue across marketing and operations. You will work with property leadership to identify growth opportunities, optimize promotions, and improve guest engagement in a fast-paced hospitality environment.

The role requires 3–5 years in marketing analytics or BI, strong data skills (SQL, Excel, R/SAS/Python), and the ability to mentor analytics staff while ensuring

Qualifications

• 3–5 years of marketing analytics, business intelligence, or related industry experience.
• Ability to follow instructions and complete tasks accurately in a fast-paced environment.
• Strong communication skills and willingness to work as part of a team.
• Committed to fostering a respectful, inclusive, and safety-conscious work environment.

Responsabilités

• Transform customer and guest transaction data into actionable marketing insights.
• Develop and apply statistical modeling to support net revenue growth across promotions and campaigns.
• Collaborate with property leadership to evaluate performance and set measurable goals.
• Mentor analytics staff and improve the quality of reporting and insights.

Connaissances

SQL

MS Access

R

SAS

Python

Excel

Outlook

Word

Teamwork

Communication

Formation

Bachelor's degree in marketing analytics, statistics, business intelligence, or related field

High School Diploma or equivalent

Outils

Microsoft Teams

SQL

Description du poste

Golden Entertainment LLC seeks a Corporate Marketing Analyst to convert guest and player data into actionable insights that drive revenue across marketing and operations. You will work with property leadership to identify growth opportunities, optimize promotions, and improve guest engagement in a fast-paced hospitality environment.

The role requires 3–5 years in marketing analytics or BI, strong data skills (SQL, Excel, R/SAS/Python), and the ability to mentor analytics staff while ensuring